Pramilla Senanayake

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• 作者：Priya Shetty
• 关键词：Fuzzy sets ; Fuzzy cluster analysis ; Fuzzy relation ; Max- ; none ; color ; black"" href=""/science?_ob=MathURL&_method=retrieve&_udi=B6TYJ-4S4J6MV-6&_mathId=mml11&_user=1067359&_cdi=5620&_rdoc=24&_acct=C000050221&_vers
• 刊名：The Lancet
• 出版年：2008
• 出版时间：8 March 2008-14 March 2008
• 年：2008
• 卷：371
• 期：9615
• 页码：805
• 全文大小：49 K

文摘

The purpose of this study is to establish hierarchical structures for the performance evaluation of vague, humanistic complicated systems. To overcome the difficulties due to partial information and the vagueness of human knowledge and recognition, a fuzzy relation-based clustering method is proposed to model this evaluation. First, the effects of different max-t_i compositions on the formation of clusters are discussed. Then, an improved clustering algorithm is developed to produce several partition trees with different levels and clusters according to different t_i-norm compositions. To demonstrate the usefulness of the proposed algorithm, the academic departments of higher education were considered using actual engineering school data in Taiwan. Three performance evaluation structures are established by using max-t₁, max-75598eae70866a"" title=""Click to view the MathML source"" alt=""Click to view the MathML source"">t₂ and max-t₃ compositions. The results show that the proposed fuzzy hierarchical approach is useful and practical for performance evaluations of complicated humanistic systems.